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Google Data Science Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

In this role, you will work closely with data scientists, ML engineers, and software teams to ... Google Cloud) PREFERRED QUALIFICATIONS Experience supporting machine learning or AI projects ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

In this role, you will work closely with data scientists, ML engineers, and software teams to ... Google Cloud) PREFERRED QUALIFICATIONS · Experience supporting machine learning or AI projects · ...

Flexjet LLC

AI Data Engineer

Cleveland, OH · On-site

$90 - $130/hr

In this role, you will work closely with data scientists, ML engineers, and software teams to ... Basic understanding of cloud platforms (AWS, Azure, or Google Cloud) PREFERRED QUALIFICATIONS

Pwc

AI & GenAI Data Scientist - Manager

Cleveland, OH · On-site

$99K - $232K/yr

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Pwc

AI & GenAI Data Scientist - Manager

Cincinnati, OH

$99K - $232K/yr

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH · On-site

$99K - $232K/yr

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

Pwc

AI & GenAI Data Scientist - Manager

Toledo, OH · On-site

$99K - $232K/yr

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

The ideal candidate will have a strong background in AI, machine learning and data science, with ... Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) for deploying AI ...

Novocure

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

Novocure Inc

Data Architect

Cleveland, OH · On-site

$61.75 - $79.50/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field * 8+ ... Experience with cloud platforms such as AWS, Microsoft Azure, and/or Google Cloud Platform

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How much do google data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for google data science in Ohio is $105,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,645.00 and $133,004.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are the most commonly searched types of Google Data Science jobs in Ohio?

The most popular types of Google Data Science jobs in Ohio are:

What are popular job titles related to Google Data Science jobs in Ohio?

For Google Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Ohio look for?

The top searched job categories for Google Data Science jobs in Ohio are:

What cities in Ohio are hiring for Google Data Science jobs?

Cities in Ohio with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $105,977 per year, or $51 per hour.

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Re-posted yesterday

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 67 rated aviation services

Job description

POSITION SUMMARY

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.

DUTIES & RESPONSIBILITIES

Design, build, and maintain data pipelines for AI and machine learning workflows

Collect, clean, and preprocess structured and unstructured data

Develop and manage datasets for model training, validation, and inference

Collaborate with ML engineers and data scientists to support model development

Ensure data quality, integrity, and availability across systems

Optimize data storage and retrieval for performance and scalability

Implement data governance, security, and compliance best practices

Monitor and troubleshoot data pipeline issues

REQUIRED SKILLS & QUALIFICATIONS

Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

Strong programming skills in Python and/or SQL

Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)

Familiarity with machine learning workflows and data requirements

Experience with data processing tools (e.g., Pandas, Spark)

Knowledge of relational and non-relational databases

Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)

PREFERRED QUALIFICATIONS

Experience supporting machine learning or AI projects

Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)

Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)

Knowledge of MLOps practices and tools

Experience working with unstructured data (text, images, etc.)

Understanding of data governance and privacy standards

Strong analytical and problem-solving skills

Attention to detail and data quality

Ability to work with cross-functional teams

Good communication skills

Ability to manage multiple data workflows

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